Abstract: A system and method for detecting material type using low-energy sensing are disclosed. The method includes receiving frequency words from a tag attached to a container containing material, wherein the tag provides a low-energy sensing configured to transmit the frequency words; extracting at least a first data feature from the received frequency words, wherein the first data feature changes in response to a type of material in the container; classifying the extracted data feature to label a type of the material in the container; and sending a notification indicating the type of material in the container.

Abstract: A system and method for detecting material type using low-energy sensing are disclosed. The method includes receiving frequency words from a tag attached to a container containing material, wherein the tag provides a low-energy sensing configured to transmit the frequency words; extracting at least a first data feature from the received frequency words, wherein the first data feature changes in response to a type of material in the container; classifying the extracted data feature to label a type of the material in the container; and sending a notification indicating the type of material in the container.

Abstract: A system and method for tracing vaccine vials are provided. The method includes receiving, from a gateway of a plurality of gateways, frequency words from tags attached to vaccine vials, wherein each tag is configured to transmit a plurality of frequency words; extracting at least one data feature from the plurality of frequency words, wherein each data feature changes in response to a change in a state of a vaccine vial; classifying the extracted data feature based on a machine learning model trained with respect to a location of the gateway, wherein the classifier is trained to label a trace parameter indicative of a state of a vaccine vial; and sending a semantic event indicating a value of the trace parameter.